Evidence map›Paper›PMID 35903571›Full record

ArticleCureus2022

Light Chain Deposition Disease: A Morphological Case Report.

Hristo Popov, George S Stoyanov, Peter Ghenev

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 49% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Hristo PopovGeneral and Clinical Pathology/Forensic Medicine and Deontology, Medical University of Varna, Varna, BGR.
George S StoyanovGeneral and Clinical Pathology, St. Marina University Hospital, Varna, BGR.
Peter GhenevGeneral and Clinical Pathology/Forensic Medicine and Deontology, Medical University of Varna, Varna, BGR.
Medical University of Varna · BGUniversity Hospital St. Marina · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light chain deposition disease (LCDD) is a rare condition associated with the overproduction and deposition of monoclonal light chain immunoglobulins. The kidneys are universally affected in LCDD, with the development of renal failure with nephrotic syndrome, microscopic hematuria, and proteinuria. Most cases are associated with a plasma cell neoplasm (multiple myeloma or plasmacytoma) or other lymphoproliferative disorders, with a reasonable number of cases also being idiopathic. Other organs can be affected in rare cases, without producing significant symptoms, predominantly the liver and heart. In this report, we discuss a case of a 72-year-old female presenting with the aforementioned symptoms. Percutaneous ultrasound-guided kidney biopsy revealed nodular sclerosis with periodic acid-Schiff stain (PAS)-positive, Congo red-negative, silver impregnation weakly-positive, and Masson's trichrome-positive (red reaction) deposits with ribbon-like changes together with light chain deposits in the tubular basement membranes. As LCDD was diagnosed, the patient was subjected to further tests, with multiple myeloma of the thoracic vertebrae also being diagnosed. The patient was started on myeloma treatment; however, she subsequently developed a severe lower limb infection that required amputation, after which she developed sepsis and expired.

Indexed as

case reportkidneylight chain deposition diseasemonoclonal immunoglobulin deposition diseasemultiple myelomanephropathology

Identifiers

PMID35903571
PMCPMC9326408
OpenAlexW4283574748

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.